AURA and Open-Source Agents for Production Operations

AURA and Open-Source Agents for Production Operations

Author: Software Engineering Daily July 14, 2026 Duration: 53:04

AI agents have transformed how software gets written, but the operational side of running software in production has not yet experienced a similar revolution. The same teams responsible for keeping systems healthy, investigating incidents, and managing reliability are still doing much of that work manually.

Mezmo is a Production AI company that makes autonomous operations fast, efficient, and safe. Their open source project, AURA, is a declarative agent framework specifically designed for SRE and platform engineering workflows. It takes a Kubernetes-inspired approach where teams define what they want agents to do rather than scripting every step of how to do it.

Andre Elizondo is the head of product at Mezmo, and he has a background in systems engineering, SRE, and observability. In this episode, Andre joins Kevin Ball to discuss what makes SRE agent workflows fundamentally different from coding agents, how AURA handles context engineering, AURA’s declarative configuration model, the spectrum of agent autonomy, and where the role of the SRE is headed as agents take on more of the operational work.

Full Disclosure: This episode is sponsored by Mezmo.

Kevin Ball or KBall, is the vice president of engineering at Mento and an independent coach for engineers and engineering leaders. He co-founded and served as CTO for two companies, founded the San Diego JavaScript meetup, and organizes the AI inaction discussion group through Latent Space.

Please click here to see the transcript of this episode.

Sponsorship inquiries: sponsor@softwareengineeringdaily.com

The post AURA and Open-Source Agents for Production Operations appeared first on Software Engineering Daily.


Dive deep into the conversations that shape how we build and understand complex systems with Data Archives-Software Engineering Daily. This podcast pulls from a rich library of technical discussions, each one a focused exploration into the specific tools, architectures, and challenges that define modern software engineering. Rather than surface-level news, these episodes offer sustained, thoughtful dialogues with the engineers and thinkers who are working on the front lines of data infrastructure, distributed systems, and emerging technologies. You'll hear detailed breakdowns of real-world problems and the nuanced solutions teams are implementing, providing a practical sense of how theoretical concepts translate into production code and resilient platforms. The archive serves as an enduring resource, whether you're looking to grasp the fundamentals of a new database or understand the intricate trade-offs in a system design. Tune in for a consistently substantive listen that treats software engineering with the depth and seriousness it deserves, all through the unfiltered lens of expert conversation.
Author: Language: en-us Episodes: 50

Software Engineering Daily
Podcast Episodes
React Native at Scale [not-audio_url] [/not-audio_url]

Duration: 45:35
React Native is an open source framework developed by Meta that allows engineers to build mobile applications for both iOS and Android using a single JavaScript codebase. The framework bridges the gap between web develop…
Formal Methods as Agent Guardrails [not-audio_url] [/not-audio_url]

Duration: 48:32
Formal methods are a branch of mathematics and computer science focused on proving the correctness of systems, and they have long promised a more rigorous foundation for software. However, their complexity has kept them…
Open Source Sustainability [not-audio_url] [/not-audio_url]

Duration: 58:43
Open source software underpins nearly every modern application, including frameworks powering the most popular websites, to the libraries securing financial backend systems. However, while open source drives collaboratio…
Vespa AI and Surpassing the Limits of Vector Search [not-audio_url] [/not-audio_url]

Duration: 38:35
Vector search has risen to become a foundational tool in modern search and retrieval systems, including the RAG pipelines that power many AI applications. However, the demands on retrieval systems are growing more sophis…
SmartBear and Multi-Agent QA [not-audio_url] [/not-audio_url]

Duration: 55:15
AI coding tools have dramatically accelerated the pace of development, and the bottleneck in the software development lifecycle has shifted to code validation and testing. However, the conventional tools and workflows th…
The Ethics of Autonomous Weapons Systems [not-audio_url] [/not-audio_url]

Duration: 1:06:40
Artificial intelligence is transforming warfare faster than the legal and ethical frameworks designed to govern it. Militaries around the world are deploying AI-powered decision support systems to identify targets, asses…
Open-Weight AI Models [not-audio_url] [/not-audio_url]

Duration: 50:14
Open-weight models are AI systems whose trained parameters are publicly released, which allows developers to run, fine-tune, and deploy them independently rather than accessing them only through a hosted API. While close…
Hype and Reality of the AI Coding Shift [not-audio_url] [/not-audio_url]

Duration: 57:05
AI coding tools have gone from novelty to core infrastructure in under three years. Today, many devs use AI daily, a substantial share of new code is AI-generated, and expectations for automation are rapidly increasing.…
Unlocking the Data Layer for Agentic AI with Simba Khadder [not-audio_url] [/not-audio_url]

Duration: 49:04
AI agents are increasingly capable of reasoning and performing autonomous work over long periods. However, as agents take on more complex, longer-horizon tasks, keeping them supplied with the right information becomes th…